Triple
T19123492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Hill Calvary Cemetery |
E468110
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Calvary Cemetery |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Calvary Cemetery | Statement: [Forest Hill Calvary Cemetery, hasPart, Calvary Cemetery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calvary Cemetery Context triple: [Forest Hill Calvary Cemetery, hasPart, Calvary Cemetery]
-
A.
Calvary Cemetery
chosen
Calvary Cemetery is a historic Roman Catholic burial ground in St. Louis, Missouri, known for its notable interments and expansive, park-like grounds.
-
B.
Calvary Cemetery
Calvary Cemetery is a historic Roman Catholic burial ground in Los Angeles, California, known as the final resting place of many notable local figures.
-
C.
Garden Cemetery
Garden Cemetery is a type of burial ground designed with landscaped gardens and park-like features to create a serene, natural setting for graves and memorials.
-
D.
Forest Hill Cemetery
Forest Hill Cemetery is a historic burial ground that forms part of the larger Forest Hill Calvary Cemetery complex.
-
E.
Evergreen Cemetery
Evergreen Cemetery is a burial ground located in Chester, Illinois, serving as a local historic cemetery for the surrounding community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cae37c81908692c7f83671229f |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.